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Sequence Characterization and Molecular Modeling of Clinically Relevant Variants of the SARS-CoV-2 Main Protease.
Cross, Thomas J; Takahashi, Gemma R; Diessner, Elizabeth M; Crosby, Marquise G; Farahmand, Vesta; Zhuang, Shannon; Butts, Carter T; Martin, Rachel W.
  • Cross TJ; Department of Chemistry, University of California, Irvine, California 92697-2025, United States.
  • Takahashi GR; Department of Molecular Biology and Biochemistry, University of California, Irvine, California 92697-3900, United States.
  • Diessner EM; Department of Chemistry, University of California, Irvine, California 92697-2025, United States.
  • Crosby MG; California Institute for Telecommunications and Information Technology, University of California, Irvine, California 92697-3900, United States.
  • Farahmand V; Department of Molecular Biology and Biochemistry, University of California, Irvine, California 92697-3900, United States.
  • Zhuang S; Department of Chemistry, University of California, Irvine, California 92697-2025, United States.
  • Butts CT; Department of Chemistry, University of California, Irvine, California 92697-2025, United States.
  • Martin RW; California Institute for Telecommunications and Information Technology, University of California, Irvine, California 92697-3900, United States.
Biochemistry ; 59(39): 3741-3756, 2020 10 06.
Article in English | MEDLINE | ID: covidwho-1387098
Preprint
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ABSTRACT
The SARS-CoV-2 main protease (Mpro) is essential to viral replication and cleaves highly specific substrate sequences, making it an obvious target for inhibitor design. However, as for any virus, SARS-CoV-2 is subject to constant neutral drift and selection pressure, with new Mpro mutations arising over time. Identification and structural characterization of Mpro variants is thus critical for robust inhibitor design. Here we report sequence analysis, structure predictions, and molecular modeling for seventy-nine Mpro variants, constituting all clinically observed mutations in this protein as of April 29, 2020. Residue substitution is widely distributed, with some tendency toward larger and more hydrophobic residues. Modeling and protein structure network analysis suggest differences in cohesion and active site flexibility, revealing patterns in viral evolution that have relevance for drug discovery.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Models, Molecular / Viral Nonstructural Proteins / Betacoronavirus / Mutation Type of study: Prognostic study / Randomized controlled trials Topics: Variants Limits: Humans Language: English Journal: Biochemistry Year: 2020 Document Type: Article Affiliation country: ACS.BIOCHEM.0C00462

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Models, Molecular / Viral Nonstructural Proteins / Betacoronavirus / Mutation Type of study: Prognostic study / Randomized controlled trials Topics: Variants Limits: Humans Language: English Journal: Biochemistry Year: 2020 Document Type: Article Affiliation country: ACS.BIOCHEM.0C00462